Method for identifying spatial distribution characteristics of limnoperna fortunei on surface of water delivery structure

Abstract

The invention discloses a method for identifying spatial distribution characteristics of limnoperna fortunei on the surface of a water delivery structure. The method comprises the following steps: S1, collecting a video of the surface of the water delivery structure; S2, preprocessing the surface video of the water delivery structure collected in the step S1 to obtain a preprocessed image; S3, extracting a local image by adopting a sliding window, and performing semantic segmentation processing on the preprocessed image based on a lightweight L-unet semantic segmentation algorithm; and S4, according to the image subjected to semantic segmentation processing, carrying out identification calculation on the characteristics of the limnoperna fortunei. A set of image preprocessing method is utilized, a sample image is learned based on an optimized Unet semantic segmentation algorithm, a semantic segmentation model of a limnoperna lacustris image is obtained through training, the limnoperna lacustris spatial distribution characteristic is identified according to the model, the limnoperna lacustris segmentation precision is improved, technical support is provided for researching the influence rule of the limnoperna fortunei on the water delivery structure, and operation safety of the long-distance water delivery building structure in the service period is guaranteed.

Description

technical field [0001] The invention relates to the technical fields of water conservancy engineering and image recognition, in particular to a method for recognizing spatial distribution characteristics of freshwater shellfish on the surface of a water delivery structure. Background technique [0002] Water quality and operation safety are the fundamental requirements for ensuring the life of people in the water receiving area. However, during the underwater maintenance of the project, it was found that the inner wall of the water delivery structure and the surface of the underwater slope protection were covered with freshwater shellfish, which would have a long-term impact on concrete performance, water quality and project operation safety that cannot be ignored. Freshwater shellfish usually attach to pipe walls, crevices, dark corners and other areas in the form of dense clusters of multiple individuals. It is impossible to use conventional means to determine the length a...

AI Technical Summary

Problems solved by technology

However, during the underwater maintenance of the project, it was found that the inner wall of the water delivery structure and the surface of the underwater slope protection were covered with freshwater shellfish, which would have a long-term impact on concrete performance, water quality and project operation safety that cannot be ignored.

Freshwater shellfish usually attach to pipe walls, crevices, dark corners and other areas in the form of dense clusters of multiple individuals. It is impossible to use conventional means to determine the length and density of freshwater shellfish underwater, especially in turbid waters and during the operation period. Camera shooting, manual identification is more difficult

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